Michaël Sdika

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All published works

Action	Title	Year	Authors
+ PDF Chat	Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN	2021	Matthieu Martin Bruno Sciolla Michaël Sdika Philippe Quétin Philippe Delachartre
+ PDF Chat	Diffeomorphic B-spline vector fields with a tractable set of inequalities	2019	Michaël Sdika
+	Towards integrating spatial localization in convolutional neural networks for brain image segmentation	2018	Pierre-Antoine Ganaye Michaël Sdika Hugues Benoit-Cattin
+ PDF Chat	Towards integrating spatial localization in convolutional neural networks for brain image segmentation	2018	Pierre-Antoine Ganaye Michaël Sdika Hugues Benoit-Cattin
+ PDF Chat	Magnetic Resonance Spectroscopy Quantification Using Deep Learning	2018	Nima Hatami Michaël Sdika H. Ratiney
+	Towards integrating spatial localization in convolutional neural networks for brain image segmentation	2018	Pierre-Antoine Ganaye Michaël Sdika Hugues Benoit-Cattin

Common Coauthors

Coauthor	Papers Together
Hugues Benoit-Cattin	3
Pierre-Antoine Ganaye	3
Bruno Sciolla	1
H. Ratiney	1
Philippe Delachartre	1
Philippe Quétin	1
Nima Hatami	1
Matthieu Martin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep neural networks for anatomical brain segmentation	2015	Alexandre de Brébisson Giovanni Montana	2
+	A pragmatic view of accuracy measurement in forecasting	1986	Benito E. Flores	1
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	1
+ PDF Chat	Natural operations on differential forms	1959	Richard S. Palais	1
+ PDF Chat	A Unified Statistical Approach to Deformation-Based Morphometry	2001	Moo K. Chung Keith J. Worsley Tomáš Paus C. Cherif D. Louis Collins Jay N. Giedd Judith L. Rapoport Alan C. Evans	1
+	Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units	2016	Wenling Shang Kihyuk Sohn Diogo Almeida Honglak Lee	1
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	1
+	Classification of Time-Series Images Using Deep Convolutional Neural Networks	2017	Nima Hatami Yann Gavet Johan Debayle	1
+ PDF Chat	Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US	2018	Marc-Antoine Boucher Sarah Lippé Amélie Damphousse Ramy El-Jalbout Samuel Kadoury	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation	2015	Marijn Stollenga Wonmin Byeon Marcus Liwicki Juergen Schmidhuber	1
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	1
+	Deep Neural Networks for Anatomical Brain Segmentation	2015	Alexandre de Brébisson Giovanni Montana	1
+	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2016	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	1
+	Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units	2016	Wenling Shang Kihyuk Sohn Diogo Almeida Honglak Lee	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+	Classification of time-series images using deep convolutional neural networks	2018	Johan Debayle Nima Hatami Yann Gavet	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	1
+ PDF Chat	Towards integrating spatial localization in convolutional neural networks for brain image segmentation	2018	Pierre-Antoine Ganaye Michaël Sdika Hugues Benoit-Cattin	1
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	1
+	Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data	2019	V. Jeya Maria Jose Rajeev Yasarla Puyang Wang Ilker Hacihaliloglu Vishal M. Patel	1
+ PDF Chat	Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning	2017	Dhritiman Das Eduardo Coello Rolf F. Schulte Bjoern Menze	1
+ PDF Chat	Automatic Segmentation of MR Brain Images With a Convolutional Neural Network	2016	Pim Moeskops Max A. Viergever Adriënne M. Mendrik Linda S. de Vries Manon J.N.L. Benders Ivana Išgum	1
+ PDF Chat	Identifying global anatomical differences: Deformation‐based morphometry	1998	John Ashburner Chloe Hutton R. S. J. Frackowiak Ingrid S. Johnsrude Cathy J. Price Karl Friston	1
+	Shape deformation analysis from the optimal control viewpoint	2015	Sylvain Arguillère Emmanuel Trélat Alain Trouvé Laurent Younès	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+	Parallel multi-dimensional LSTM, with application to fast biomedical volumetric image segmentation	2015	Marijn Stollenga Wonmin Byeon Marcus Liwicki Juergen Schmidhuber	1